Evann Guessand

25 yrs · Right winger (also LW, ST) · Cote d'Ivoire
Crystal Palace · Premier League · Foot: right · Height: 188 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: ModerateContract: until 30 Jun 2030
Market value
€25.0M
Updated 7 days ago
Estimated acquisition
€16.1M – €33.5M
Estimated · 20–80% range
Model value
€21.0M – €42.3M
Performance-implied · estimated
Projected (24m)
€15.0M – €31.2M
Resale range · estimated
Potential value gap
-€12.4M – €26.1M
Model value − acquisition

Value picture

Where the market, the likely price and the model estimates sit.

Estimated acquisition€16.1M – €33.5M
Model value (performance-implied)€21.0M – €42.3M
Projected value (24 months)€15.0M – €31.2M
Dashed line: current market value (€25.0M). Bars are 20–80% model ranges; tick = median.

The model rates Evann Guessand's performance-implied value at EUR 21.0M-42.3M, below the estimated acquisition range of EUR 16.1M-33.5M. Its 24-month market value projection is EUR 15.0M-31.2M. Context-adjusted goal contributions are 0.71x the positional average in the league (916 minutes, league coefficient 1.30). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 32

What drives the score. Not a black box: each component and its level.

PerformanceHigh85.3th pct among ATT peers (age-neutral)
AgeNeutral25 years
Acquisition costNeutralest. €25.4M vs market €25.0M
Expected appreciationLow-12% over ~2 years (model)
Value gapNegativeweak predictor on its own
DevelopmentModerate
League translationBig-five leagueleague coefficient 1.3
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskModerate
Data confidenceMedium

Bargain Index = percentile (among all evaluated players) of expected 2-year value relative to estimated cost. See methodology and backtests.

Market value history

Market value ≠ transfer fee ≠ acquisition cost.

Highest recorded: €30.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
916 (27% of available)
Goals + assists / 90
0.20
Context-adjusted G+A / 90
0.20
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
85 (High)

Adjusted = shrunk toward positional baseline for small samples, corrected for team dominance over opponents, expressed relative to positional peers in the same league.

Context

League strength
1.30 (rank 1)
Team strength (Elo)
1674
Opponent strength
1573
Possession, role
Data unavailable

League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.

Potential

Development
Moderate
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€15.0M – €31.2M

Trajectory drivers: minutes share down 57 pts; changed club; team strength up (+152 Elo); league level up (+149 Elo); relative output down 43% vs positional peers.

Historical comparables (8): median 2-year value change -15% (IQR -41% to +10%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 916 league minutes last season.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⚠Declining trajectory versus previous season.
  • ⓘInjury history unavailable from current data source.

League translation

What happened to players who moved from this league to the big-five leagues (observed, not a forecast).

Already playing in a big-five league.

Output is relative to positional peers in each league. Movers are a selected group (clubs buy players who fit), so treat this as context, not a guarantee.

Season-by-season (domestic league)

Context-adjusted values are model outputs.

SeasonClubLeaguePosAppsMinMin shareGAG+A/90Adj. G+A/90Opp. EloTeam EloLeague str.
2025/26Aston VillaPremier LeagueRW1358817%000.000.20157317211.30
2025/26Crystal PalacePremier LeagueLW832810%110.550.43153615891.30
2024/25OGC NiceLigue 1RW33257584%1290.730.53145715210.88
2023/24OGC NiceLigue 1ST34154050%620.470.42146115110.87
2022/23FC NantesLigue 1ST30125737%320.360.43143913490.82
2021/22OGC NiceLigue 1ST2042212%130.850.58142214930.86
2020/21OGC NiceLigue 1ST3271%000.000.72164213980.75

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Europa LeagueAston Villa7539201456
2025/26Africa Cup Of NationsIvory Coast419710—
2025/26World CupIvory Coast11500—
2024/25Uefa Europa LeagueOGC Nice7334101512
2022/23Uefa Europa LeagueFC Nantes8384101505
2022/23Trophee Des ChampionsFC Nantes178001714

Small continental samples are shown for context only and are not over-weighted.

Historical comparables

Most similar profiles 2+ years ago (same position group) and what happened next. Chosen by similarity only — failures included.

Player (then)AgeValue then~2y laterOutcome
Richarlison
Premier League · 2023
26€48.0M€20.0Mfell
Daniel James
Premier League · 2021
24€18.0M€12.0Mfell
Gianluca Scamacca
Premier League · 2023
24€22.0M€24.0Mflat
Anthony Martial
Premier League · 2021
26€45.0M€15.0Mfell
Heung-min Son
Premier League · 2016
24€25.0M€50.0Mrose
Erik Lamela
Premier League · 2017
25€25.0M€18.0Mfell
Diogo Jota
Premier League · 2021
25€45.0M€50.0Mflat
Steven Bergwijn
Premier League · 2021
24€22.0M€22.0Mflat

Transfer history

Fees as reported by the source; undisclosed fees shown as unknown, never estimated.

DateFromToFeeMV at time
30 Jun 2026Crystal PalaceAston VillaFree / loan€25.0M
30 Jan 2026Aston VillaCrystal PalaceFree / loan€28.0M
8 Aug 2025NiceAston Villa€30.0M€25.0M
30 Jun 2023FC NantesNiceFree / loan€4.5M
12 Jul 2022NiceFC NantesFree / loan€3.0M
30 Jun 2021Lausanne-SportNiceFree / loan€2.0M
30 Sept 2020NiceLausanne-SportFree / loanData unavailable
1 Jul 2020OGC Nice BNiceUnknownData unavailable
1 Jul 2018OGC Nice U17OGC Nice BUnknownData unavailable
1 Jul 2016OGCN YthOGC Nice U17UnknownData unavailable
1 Jul 2014ASPTT JugendOGCN YthFree / loanData unavailable

MoneyballAI identifies statistical opportunities from available data. A player flagged as a potential bargain is not guaranteed to succeed, to transfer, to rise in value, or to generate resale profit. Market values, fees and contracts come from third-party sources; ranges are model estimates with stated confidence.